How many fatal log entries in the month of December resulted from an \"invalid or missing program image\"?

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

1 Overview

In this project, you are required to develop a complex scalable cloud computing solution, which should be informed by best practice in the domain and documented in the form of a conference- style report. You will also be required to provide a complete archive of the code you developed and to prepare a video presentation demonstrating your working solution.

 

1.1 The data set

BGL is an open data set of logs collected from a BlueGene/L supercomputer at Lawrence Livermore National Labs. It is equipped with 131,072 processors and 32,768GB memory.

The log file can be downloaded from Zenodo1. A sample line from the log file is shown below.

- 1121707460 2005.07.18 R23-M1-N0-C:J05-U01 2005-07-18-10.24.20.440509 R23-M1-N0-C:J05-U01 RAS

KERNEL INFO generating core.7663

This can be parsed as show in table 1 below.

 

Table 1: Log file structure

Value Interpretation

- Alert message flag

1121707460 Timestamp

2005.07.18 Date

R23-M1-N0-C:J05-U01 Node

2005-07-18-10.24.20.440509 Date and Time

R23-M1-N0-C:J05-U01 Node (repeated) RAS Message Type

KERNEL System Component

INFO Level

generating core.7663 Message Content

 

Note that the first column may contain values other than the alert message flag.

 

1https://zenodo.org/record/3227177/files/BGL.tar.gz

 

2 Tasks

For this project you are required to programmatically acquire, store, pre-process, and perform data computation tasks on the BGL data set using MPI, MapReduce or Spark frameworks and appropriate design patterns. The data computation tasks should provide answers to the questions listed below.

The questions you are required to answer are dependent the last digit of your student number, as follows:

Please ensure you choose the correct questions as no marks will be awarded for code and answers relating to incorrect selections.

Questions

1. How many fatal log entries in the month of December resulted from an "invalid or missing program image"?

2. How many fatal log entries in the month of September resulted from a "major internal error"?

3. How many fatal log entries that occurred on a Monday resulted from a "machine check interrupt"?

4. How many fatal log entries that occurred on a Friday resulted from a "kernel panic"?

5. For each month, what is the average number of seconds during which EDRAM errors were detected and corrected?

6. For each day of the week, what is the average number of seconds over which "re-synch state events" occurred?

7. For each week, what is the average number of seconds during which "ddr errors" were detected and corrected? Assume a week runs from Monday to Sunday.

 

8. For each hour of the day, what is the average number of seconds during which "torus receiver z+ input pipe errors" were detected and corrected?

9. What are the top 5 most frequently occurring dates in the log?

10. What are the top 5 most frequently occurring days of the week in the log?

11. What are the top 5 most frequently occurring nodes in the log?

12. What are the top 5 most frequently occurring hours in the log?

13. Which node generated the largest number APPSEV events?

14. Which node generated the smallest number of KERNRTSP events?

15. Which node generated the largest number of APPBUSY events?

16. Which node generated the smallest number of APPUNAV events?

17. On which date was the latest fatal kernel error resulting in an rts panic?

18. On which date was the earliest fatal kernel error where the message contains "Power Good signal deactivated"?

19. On which date was the latest fatal app error where the message contains "Error reading message prefix"?

20. On which date was the earliest fatal kernel eror where the message contains the words "timed out"?

You may choose to extend beyond the questions listed above and to perform other computations that may provide useful insights into the data.

 

 

Attachments:

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